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02_roots_and_optimization/prob4.m
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epsilon = 0.039; % units are [kcal/mol] | |
epsilon = epsilon*6.9477e-21; % [J/atom] | |
epsilon = epsilon*1e18; % [aJ/J] | |
% episilon ends up being in terms of aJ | |
sigma = 2.934; % for Angstrom | |
sigma = sigma*0.10; % nm/Angstrom | |
%setting up LJ | |
lennard_jones = @(x,sigma,epsilon) 4*epsilon*((sigma./x).^12-(sigma./x).^6); | |
[x,E,ea,its] = goldmin(@(x) lennard_jones(x,sigma,epsilon),3.2,3.5) | |
figure(1) | |
parabolic(3.2,3.5) | |
epsilon = 0.039; % [kcal/mol] | |
epsilon = epsilon*6.9477e-21; % [J/atom] | |
epsilon = epsilon*1e18; % [aJ/J] | |
% epsilon ends up being in terms of aJ | |
sigma = 2.934; % Angstrom | |
sigma = sigma*0.10; % nm/Angstrom | |
%finding bond length in [um] | |
x=linspace(2.8,6,200)*0.10; | |
ex = lennard_jones(x,sigma,epsilon); | |
[xmin,emin] = goldmin(@(x) lennard_jones(x,sigma,epsilon),0.28,0.6) | |
figure(2) | |
plot(x,ex,xmin,emin,'o') | |
ylabel('Lennard Jones Potential [aJ/Atom]') | |
xlabel('Bond Length [nm]') | |
title('LJ Potential vs Bond Length'); | |
e_total = @(dx,F) lennard_jones(xmin+dx,sigma,epsilon)-F.*dx; | |
N=30; | |
warning('off') | |
dx = zeros(1,N); % [in nm] | |
F_applied=linspace(0,0.0022,N); % [in nN] | |
for i=1:N | |
optmin=goldmin(@(dx) e_total(dx,F_applied(i)),-0.001,0.035); | |
dx(i)=optmin; | |
end | |
plot(dx,F_applied) | |
xlabel('dx [nm]') | |
ylabel('Force [nN]') | |
title('Force vs dx') | |
dx_full = linspace(0,0.06,N); | |
F = @(dx) 4*epsilon*6*(sigma^6./(xmin+dx).^7-2*sigma^12./(xmin+dx).^13) | |
plot(dx_full,F(dx_full),dx,F_applied) | |
[K,SSE_min] = fminsearch(@(K) sse_of_parabola(K,dx,F_applied),[1,1]); | |
%fprintf('\n Nonlinear spring constants = K1=%1.2f nN/nm and K2=%1.2f nN/nm^2\n',K) | |
%fprintf('The mininum sum of squares error = %1.2e \n',SSE_min) | |
plot(dx,F_applied,'o',dx,K(1)*dx+1/2*K(2)*dx.^2) |